DATA SCIENCE CONSULTANT QUITO

Management Solutions, SL; Santiago; Presencial; CLP 20.820.895 - 36.436.567; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Ongoing training program

Specialist courses

Language courses

Internal promotion opportunities

Career plan & merit-based growth

University collaborations

Community and sports activities

Descripción de la vacante

Management Solutions is seeking graduates to join key projects in data mining, knowledge discovery, predictive modeling and related quantitative R&D work. You will contribute to models, simulations and risk analysis for leading organizations.

We value strong academic records in quantitative fields, willingness to learn quickly, and ability to integrate into multidisciplinary teams. Postgraduate studies are a plus; language skills are desirable.

Formación

• Recent graduates or final year students in quantitative fields with solid academic records.
• Postgraduate studies in Data Science or Quantitative Finance are a plus.
• Knowledge of modeling techniques and statistical languages is desirable.

Responsabilidades

• Support data mining and knowledge discovery projects for leading organizations.
• Contribute to predictive and trend modeling, simulations, and credit scoring analyses.
• Integrate into multidisciplinary teams and learn quickly on the job.

Conocimientos

Quantitative background

Team player

Rapid learner

Educación

Quantitative disciplines (Math, Physics, Statistics, Econometrics)

Herramientas

SAS

R

Python

MATLAB

Descripción del empleo

Ecuador / Graduate / Number of vacancies: 2

You will be working in key projects for leading organizations in data mining & knowledge Discovery, predictive modeling, trend modeling, Simulation models (Monte Carlo), Review of credit rating and scoring models and quant support to the business and R&D projects.

Requirements

• Recent graduates or final year students from disciplines relating to Mathematics, Physics, Statistics, Econometrics or other Quantitative fields.
• Postgraduate studies and/or specialised courses are an asset, especially in Data Science, Quantitative Finance or similar.
• Should desirably have knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering), statistical programming languages (SAS, R, Python, Matlab) and big data tools and platforms (Hadoop, Hive, etc.).
• Solid academic record.
• Knowledge of other languages is desirable.
• Get-up-and-go attitude, maturity, responsibility and strong work ethic.
• Strong ability to learn quickly.
• Able to integrate easily into multidisciplinary teams.

We Offer

The best environment to develop talent.

• Working in the highest-profile consulting projects in the industry, for the largest companies, leaders of their respective markets, alongside top industry management as they face challenges at the national and global level, as part of an extraordinary team of professionals whose values and corporate culture are a benchmark for the industry.

Ongoing training plan, with approximately 10% of business turnover spent in training.

• Specialist knowledge courses, external expert courses, professional skills courses, and language courses.
• Last year our staff as a whole received over 400.000 hours of training, spanning more than 160 courses.

Clearly defined career plan.

• Internal promotion based solely on merit.
• Partnership-based management model offers all professionals the opportunity to become part of the Firm’s group of partners.

Complementary experiences.

• University: we maintain a close relationship with the world’s most prestigious universities.
• Social Action: we organize more than 30 community support activities.
• Sports Club: internal and external tournaments.

At Management Solutions we believe in equal opportunities. In our selection process, all qualified applicants are equally considered for employment regardless of race, color, religion, national origin, sex, gender identity, sexual orientation, age, marital status, disability, and any other characteristic protected by law.